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VideoDB Documentation
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    • Welcome to VideoDB Docs
    • Quick Start Guide
      • Video Indexing Guide
      • Semantic Search
      • Collections
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      • Callback Details
      • Ref: Subtitle Styles
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      • Multimodal Search: Quickstart
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      • Elevating Trailers with Automated Narration
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      • Generate Automated Video Outputs with Text Prompts | VideoDB
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      • How I Built a CRM-integrated Sales Assistant Agent in 1 Hour
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        Zapier Integration
        • Auto-Dub Videos & Save to Google Drive
        • Create & Add Intelligent Video Highlights to Notion
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        • icon picker
          Automatically Detect Profanity in Videos with AI - Update on Slack
        • Generate and Store YouTube Video Summaries in Notion
        • Automate Subtitle Generation for Video Libraries
        • Solve customers queries with Video Answers
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      Open Source
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        LlamaIndex VideoDB Retriever
      • PromptClip: Use Power of LLM to Create Clips
      • StreamRAG: Connect ChatGPT to VideoDB
    • mcp
      VideoDB MCP Server
    • videodb
      Give your AI, Eyes and Ears
      • Building Infrastructure that “Sees” and “Edits”
      • Agents with Video Experience
      • From MP3/MP4 to the Future with VideoDB
      • Dynamic Video Streams
      • Why do we need a Video Database Now?
      • What's a Video Database ?
      • Enhancing AI-Driven Multimedia Applications
      • Beyond Traditional Video Infrastructure
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        Internship: Build the Future of AI-Powered Video Infrastructure
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          • Part 1 - Define Intelligence
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        • VideoDB Acquires Devzery: Expanding Our AI Infra Stack with Developer-First Testing Automation
videodb
VideoDB Documentation
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Automatically Detect Profanity in Videos with AI - Update on Slack
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Automatically Detect Profanity in Videos with AI - Update on Slack

Workflow Overview: The automation is split into two workflows: the first handles video upload and indexing, and the second checks for profanity and sends the results via Slack DM. This design ensures longer-running indexing tasks complete properly while still delivering actionable insights.
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Goals:

Automate detection of profanity or vulgar language in uploaded videos.
Split the workflow into two parts to handle longer processing times without Zapier timeouts.
Send detected profanity results and timestamps directly to Slack for review.
Use target labels to ensure only the intended second workflow is triggered.
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Prerequisites:

A Zapier account to manage and run workflows.
Access to VideoDB with an active API key.
A Slack workspace with permissions to send direct messages or channel messages.
A Zapier Interface form to collect video name and URL submissions.
Basic understanding of asynchronous job handling in Zapier.
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Detailed Steps:

Workflow 1: Upload and Index Video

Form Creation (Zapier Interfaces):
Build a form with fields for Video Name and Video URL.
Example: Enter a video title and a YouTube link.
Trigger Setup:
Set trigger to Form Submission Created (Zapier Interfaces).
Select the created form and page as the source.
Upload and Index with VideoDB:
Add an action → VideoDB → Upload and Index Video.
Authenticate using your VideoDB API key.
Map fields: Video Name and URL from form submission.
Set prompt: Check for any profanity or vulgar content.
Assign a target label (e.g., Profanity Check) to connect with the second workflow.
Test → confirm Job ID is returned (asynchronous task).
Publish Workflow 1:
Activate the workflow so all new form submissions trigger video uploads automatically.
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Workflow 2: Profanity Detection and Slack Notification

Trigger Setup:
Trigger: New Video Uploaded Job Completed (VideoDB).
Filter by target label Profanity Check.
Find Video Moment (Profanity Check):
Action: VideoDB → Find Video Moment.
Use dynamic video ID from the trigger.
Prompt: Detect profanity or vulgar content.
Content type: Multimodal (spoken + visual).
This action returns a new Job ID for processing.
Delay for Processing:
Insert a delay (e.g., 3 minutes) to allow VideoDB to finish analyzing.
Check Job Status:
Action: VideoDB → Check Job Status.
Input the Job ID from the “Find Video Moment” step.
Retrieve results: detected profanity, timestamps, and URLs.
Slack Notification:
Action: Slack → Send Channel or DM Message.
Configure message format:
Video Name
Player/Download URL
Profanity results (text + timestamps)
Customize bot name (e.g., Profanity Checker).
Test → confirm profanity results are delivered in Slack.
Publish Workflow 2:
Activate the workflow to automatically run profanity checks and push results to Slack.
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Links to workflows:
Workflow 1 :
https://zapier.com/shared/5fce07a54798db1e85d2f3775d19aa04ca08675e
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Workflow 2 :
https://zapier.com/shared/98663dbde48b7c4218177f415ff1ac9d0397e035
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